Triple
T36714364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Asia strategy of the United States |
E906875
|
entity |
| Predicate | emphasizesIssue |
P118390
|
FINISHED |
| Object | energy security |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: energy security | Statement: [Central Asia strategy of the United States, emphasizesIssue, energy security]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesIssue Context triple: [Central Asia strategy of the United States, emphasizesIssue, energy security]
-
A.
focusIssue
chosen
Indicates that an issue, topic, or problem is the primary subject of attention or concern in a given context.
-
B.
emphasizesPolicyArea
Indicates that one entity gives particular importance or priority to a specific policy area in its actions, statements, or focus.
-
C.
hasEmphasis
Indicates that one element is given special stress, importance, or prominence relative to others.
-
D.
primaryIssue
Indicates that the related item is the main or most important issue among a set of issues.
-
E.
involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c81880488190b38bf885d2458ad4 |
completed | May 3, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.